Want to know how a leading workplace experience and facility management company is powered by technology?

At ISS Tech Team, we create smarter workplace experiences through technology. Our Global Technology Solutions team builds digital solutions, from sensors and IoT devices to data, analytics and AI-driven capabilities, that support our ISS A/S operations across Cleaning, Workplace, Food and Technical Services.
With tech hubs in Copenhagen, Warsaw, and Porto, and teams collaborating across more than 30 countries, our ISS Tech team develops our digital solutions that have a real impact on both our customers and our people.

Location: Porto, Portugal
Work regime: Hybrid

The Job Role as Machine Learning Engineer:

We’re building AI-powered products such as our conversational analytics assistant and are looking for a Machine Learning Engineer to help take models from experimentation to scalable, production-grade systems.

As a key member of our Data Science and AI Solution team, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions. You'll collaborate closely with our data scientists, software engineers, and DevOps professionals to drive innovation and bring our AI-powered products to life.

What you'll do:

• Contribute to building and improving LLM-based systems powering conversational AI and analytics use cases, including multi-agent pipelines and RAG architectures.
• Support end-to-end MLOps pipelines for LLM applications, covering deployment, versioning, CI/CD, monitoring, and retraining.
• Work with DevOps teams to ensure seamless integration of machine learning components into production systems.
• Collaborate with cross-functional teams to gather requirements, analyse data, and support the development of solutions that drive actionable insights.
• Maintain and contribute to ML infrastructure on Cloud.
• Explore new tools and technologies to enhance the efficiency and effectiveness of our AI systems.
• Stay up to date with the latest advancements in LLMs and AI to help contribute to the team's innovation roadmap

Key qualifications:
Must have:

• Academic background in computer science, data science, machine learning, or a related field (Bachelor's or Master's degree).
• Experience in machine learning engineering, AI development, or a related role.
• Comes with solid knowledge of Python.
• Comes with solid knowledge of relational databases, such as PostgreSQL.
• Exposure to designing or deploying machine learning or AI models, whether in production or project settings.
• English proficiency, both written and spoken.

Nice to have:

• Experience with LLMs, prompt engineering, or RAG pipelines.
• Familiarity with LangChain / LangGraph frameworks.
• Familiarity with vector databases (e.g., FAISS, pgvector) or embedding models.